{"id":"W2030321324","doi":"10.1007/s00382-007-0303-4","title":"The energy cycle in atmospheric models","year":2007,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":60,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Annual cycle; Environmental science; Climate model; Climatology; Dissipation; Energy (signal processing); Energy budget; Kinetic energy; Energy transformation; Water cycle; Atmospheric sciences; Meteorology; Climate change; Physics; Mathematics; Statistics; Geology; Thermodynamics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001860965,0.0006156285,0.001124408,0.0007238187,0.0007902097,0.002241781,0.001312448,0.001854506,0.004485279],"category_scores_gemma":[0.0133281,0.001089662,0.0006768049,0.002385469,0.001680254,0.005032631,0.001353231,0.00240293,0.0008168513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001392124,"about_ca_system_score_gemma":0.0009914798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01638884,"about_ca_topic_score_gemma":0.01393145,"domain_scores_codex":[0.9992417,0.0005263095,0.00003514643,0.00006175305,0.0001026055,0.00003251384],"domain_scores_gemma":[0.996873,0.002328727,0.0001320058,0.0004054629,0.0001723086,0.00008848074],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003047903,0.00002637202,0.001005282,0.0001007922,0.00005503544,0.00004793177,0.0001109512,0.5096281,0.0001300549,0.4633287,0.006173093,0.01936322],"study_design_scores_gemma":[0.0000123395,0.000004208762,0.0001717193,0.00002018858,0.00001186573,0.000009002425,0.00002550387,0.6429086,0.00008307921,0.3493134,0.007429537,0.00001060815],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05920988,0.02417211,0.8435721,0.01033172,0.001730556,0.00006377412,0.0009825297,0.0009797587,0.05895758],"genre_scores_gemma":[0.869867,0.01548845,0.08652007,0.0007247836,0.001320916,0.0001904168,0.0008054507,0.000895007,0.02418802],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01638884,"threshold_uncertainty_score":0.03258687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004032000942515502,"score_gpt":0.1926718387794124,"score_spread":0.1886398378368969,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}